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Vetted Software Engineers in the Greater Seattle
Pre-screened and vetted in the Greater Seattle.
Chuks Onwuneme
Executive technology leader specializing in Healthcare IT, AI, and regulated SaaS
“Founder who raised friends-and-family capital in 2024, used it to build an initial product and develop patent-backed IP, then pivoted from AI impersonation detection to authorization and trust infrastructure for agentic workflows. Demonstrates strong strategic thinking around infrastructure products, customer-driven repositioning, and venture-backed startup dynamics.”
Mid-level Software Engineer specializing in backend and distributed systems
Senior Full-Stack Software Engineer specializing in cloud-native SaaS, FinTech, and Healthcare IT
Junior Software Engineer specializing in cloud-native backend and data platforms
Director-level Engineering Manager specializing in cloud data platforms and data engineering
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and automation
Senior Frontend Engineer specializing in React, TypeScript, and accessible enterprise cloud UX
Junior Software Engineer specializing in backend systems and distributed data pipelines
Mid-level Software Engineer specializing in backend, distributed systems, and cloud infrastructure
Mid-level Backend Software Engineer specializing in FinTech and AWS microservices
Senior Full-Stack Software Engineer specializing in test automation and cloud
Junior Full-Stack Engineer specializing in React, Node.js, and event-driven systems
Senior Software Engineer specializing in backend platforms and distributed systems
Senior Software Engineer specializing in enterprise backend systems and aviation platforms
Mid-level Software Engineer specializing in full-stack systems, AI, and cybersecurity
Anna Zhou
Mid-level Backend Software Engineer specializing in Go, AWS, Kafka, and DevOps
“Checkout-focused engineer with hands-on experience integrating many dependent microservices and Kafka event flows, including managing SLA/timeout issues with partner teams. Led a PayPal Braintree SDK migration across iOS/Android/web with strong testing discipline, and built an AWS Lambda automation to clean up stale CloudFormation test stacks to reduce monthly AWS spend.”
Senior Software Engineer specializing in backend systems and data pipelines
Mikeal Day
Executive Engineering Leader specializing in SaaS, FinTech, and AI
“Startup-oriented product/technology leader targeting CTO roles, with experience evaluating and scoping high-impact product expansions. At Crelate, helped assess and shape a contract timekeeping/invoicing initiative that expanded TAM by hundreds of millions and increased ACV 2-3x, contributing to successful market traction and the company’s path to Series C.”
Hrishikesh Gawde
Mid-level Software Engineer specializing in AI and FinTech platforms
“LLM/agentic systems practitioner who specializes in moving demo-only assistants into reliable, observable, cost-controlled production services. Strong in real-time diagnosis of complex agent workflows (including tracing, loop detection, and guardrails) and in customer-facing enablement—running workshops, building tailored PoCs, and partnering with sales to close deals by proving reliability in high-risk pilots.”
Anuja Nayak
Junior Software Engineer specializing in distributed systems and reliability
“Oracle engineer focused on reliability and internal platform tooling, with hands-on experience automating regional traffic failover and building an LLM-assisted incident investigation workflow. Stands out for owning production-impacting systems end-to-end and delivering measurable operational gains, including cutting failover recovery to under five minutes and reducing incident triage from hours to minutes.”
Nikitha Ramesh
Junior Product Manager and AI/ML engineer specializing in enterprise SaaS and cloud AI
“Growth-focused B2B SaaS operator with hands-on experience improving enterprise adoption for a cloud governance and FinOps platform. They combine customer discovery, ROI-driven messaging, automation, and funnel instrumentation to improve conversion and handoffs, citing an 18% lift in enterprise adoption and roughly $200K-$3M in influenced pipeline.”